Question

How to calculate the mean and the standard deviation of a list of floating-point values in Python

Answer 1

import math

def calculate_mean(data):
    if not data:
        return 0.0
        
    return sum(data) / len(data)

def calculate_standard_deviation(data, mean):
    if len(data) < 2:
        return 0.0
    sum_of_squared_differences = sum((x - mean) ** 2 for x in data)
    variance = sum_of_squared_differences / (len(data) - 1)
    
    return math.sqrt(variance)

numbers = [3.4, 1.8, 4.3, 5.0, 6.2]
mean = calculate_mean(numbers)
stddev = calculate_standard_deviation(numbers, mean)

print(f"Mean: {mean:.2f}")
print(f"Standard Deviation: {stddev:.2f}")



'''
run

Mean: 4.14
Standard Deviation: 1.66

'''

 

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